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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Recognition Confidence Measures: Detection of Misrecognitions and Out- Of-Vocabulary Words Young, Sheryl R. In: DTIC AND NTIS (1994) BASE Show details 2 Learning New Words from Spontaneous Speech: A Project Summary Young, Sheryl R. In: DTIC AND NTIS (1993) BASE Show details 3 Dialog Structure and Plan Recognition in Spontaneous Spoken Dialog Young, Sheryl R. In: DTIC AND NTIS (1993) BASE Show details 4 Speech recognition Lee, Kai-Fu (Mitarb.); Hon, Hsiao-Wuen (Mitarb.); Hwang, Mei-Yuh (Mitarb.)... In: Speech communication. - Amsterdam [u.a.] : Elsevier 9 (1990) 5-6, 497-564 BLLDB Show details 5 Language processing for speech recognition Waibel, Alexander H. (Mitarb.); Young, Sheryl R. (Mitarb.); Hauptmann, Alexander G. (Mitarb.)... In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 447-549 BLLDB Show details 6 The Minds System: Using Context and Dialog to Enhance Speech Recognition Young, Sheryl R. In: DTIC (1989) Abstract: Contextual knowledge has traditionally been used in multi-sentential textual understanding systems. In contrast, this paper describes a new approach toward using contextual, dialog-based knowledge for speech recognition. To demonstrate this approach, we have built MINDS, a system which uses contextual knowledge to predictively generate expectations about the conceptual content that may be expressed in a system user's next utterance. These expectations are expanded to constrain the possible words which may be matched from an incoming speech signal. To prevent system rigidity and allow for diverse user behavior, the system creates layered predictions which range from very specific to very general. Each time new information becomes available from the ongoing dialog, MINDS generates a different set of layered predictions for processing the next utterance. The predictions contain constraints derived from the contextual, dialog level knowledge sources and each prediction is translated into a grammar usable by our speech recognizer, SPHINX. Since speech recognizers use grammars to dictate legal word sequences and to constrain the recognition process, the dynamically generated grammars reduce the number of word candidates considered by the recognizer. The results demonstrate that speech recognition accuracy is greatly enhanced through the use of predictions. Keyword: *KNOWLEDGE BASED SYSTEMS; *SPEECH RECOGNITION; ACCURACY; BEHAVIOR; GRAMMARS; LAW ENFORCEMENT; LAYERS; Linguistics; PREDICTIONS; RECOGNITION; RIGIDITY; SEQUENCES; SIGNALS; SPEECH; TIME; USER NEEDS; WORDS(LANGUAGE) URL: http://www.dtic.mil/docs/citations/ADA457800 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA457800 BASE Hide details 7 Resource allocation in reading : an interactive approach Bourne, Lyle Eugene; Young, Sheryl R.; Angell, Linda Sala In: Zeitschrift für Psychologie. - Göttingen ; Cambridge, Mass. : Hogrefe 194 (1986) 2, 155-176 BLLDB Show details 8 Selective recall of decision-relevant information from texts Kintsch, Walter; Young, Sheryl R. In: Memory & cognition. - Heidelberg [u.a.] : Springer 12 (1984) 2, 112-117 BLLDB Show details

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